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Remote Databricks Data Engineer Jobs in Irvine, CA

Techoundsllc

Data Engineer - REMOTE

Corona, CA · Remote

$118K - $141K/yr

Job Overview We are seeking a skilled Data Engineer with 3-5 years of experience specializing in data analysis, writing queries, query optimization, reporting, and data solutions. The ideal candidate ...

Reveel

Data Engineer (Remote)

Irvine, CA · Remote

$115K - $150K/yr

We are looking for a Data Engineer to help us expand and maintain our data infrastructure. We're seeking a junior to mid-level Data Engineer to join our small but mighty team. This role is all about ...

Wayvia

Data Engineer III

Irvine, CA · On-site +1

$160K - $180K/yr

Job Brief: The Data Engineer III will lead the development and maintenance of our data ... This is a remote position open to candidates based in the United States. Compensation: The salary ...

Deloitte

Databricks Manager

Costa Mesa, CA · On-site +1

... engineering teams and modernizing technology & data platforms. Our delivery models are tailored to ... remote client service delivery. Recruiting for this role ends on 06/30/2026. Work you'll do As a ...

iHerb

Pricing Data Scientist

Irvine, CA · On-site +1

Partner closely with BI Analytics and Data Engineering to shape pricing datasets, contribute to ... Advanced degrees are welcome but not required. #LI-ME1 #LI-Remote The anticipated pay scale for ...

Axos Bank

Sr. Database Administrator

Irvine, CA · On-site +1

$120K - $145K/yr

About This Job We are seeking a SQL DBA with hands-on Databricks experience to support and optimize ... This role combines strong database administration expertise with modern data engineering ...

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All JobsRemote Databricks Data Engineer JobsRemote Databricks Data Engineer Jobs in Irvine, CA

Remote Databricks Data Engineer information

See Irvine, CA salary details

$47.8K

$139.2K

$190.5K

How much do remote databricks data engineer jobs pay per year?

As of Jul 4, 2026, the average yearly pay for remote databricks data engineer in Irvine, CA is $139,236.00, according to ZipRecruiter salary data. Most workers in this role earn between $122,900.00 and $147,600.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Databricks Data Engineer, and why are they important?

To thrive as a Remote Databricks Data Engineer, you need a solid background in data engineering, strong programming skills in Python or Scala, and experience with big data frameworks, often supported by a degree in computer science or a related field. Proficiency with Databricks, Apache Spark, cloud platforms (such as AWS or Azure), and relevant certifications like Databricks Certified Data Engineer are highly valuable. Strong problem-solving abilities, effective remote communication, and collaboration skills set top performers apart in distributed teams. These skills and qualities ensure efficient data pipeline development, seamless integration, and successful project delivery in remote environments.

What is a Remote Databricks Data Engineer?

A Remote Databricks Data Engineer is a professional who designs, develops, and manages large-scale data processing systems using the Databricks platform, often working from a remote location. They focus on building data pipelines, integrating data sources, and optimizing workflows for analytics and machine learning, leveraging tools like Apache Spark within Databricks. These engineers collaborate with data scientists, analysts, and other stakeholders to ensure data is accessible, reliable, and scalable for business needs. Remote roles offer flexibility in work location while still requiring strong communication and technical skills.

What are some common challenges faced by remote Databricks Data Engineers and how can they be addressed?

Remote Databricks Data Engineers often encounter challenges such as coordinating efficiently with distributed teams, managing access to secure data environments, and ensuring smooth pipeline deployments across different cloud platforms. To overcome these, it's important to leverage communication tools for regular check-ins, follow strict data governance protocols, and utilize collaborative features in Databricks such as shared notebooks and version control. Proactively documenting your work and staying updated with platform updates can also help streamline remote collaboration and problem-solving.
What are the most commonly searched types of Databricks Data Engineer jobs in Irvine, CA? The most popular types of Databricks Data Engineer jobs in Irvine, CA are:
What are popular job titles related to Remote Databricks Data Engineer jobs in Irvine, CA? For Remote Databricks Data Engineer jobs in Irvine, CA, the most frequently searched job titles are:
What job categories do people searching Remote Databricks Data Engineer jobs in Irvine, CA look for? The top searched job categories for Remote Databricks Data Engineer jobs in Irvine, CA are:
What cities near Irvine, CA are hiring for Remote Databricks Data Engineer jobs? Cities near Irvine, CA with the most Remote Databricks Data Engineer job openings:
Remote Databricks Data Engineer jobs near you
Infographic showing various Remote Databricks Data Engineer job openings in Irvine, CA as of June 2026, with employment types broken down into 90% Full Time, and 10% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $139,236 per year, or $66.9 per hour.

Data Engineer - REMOTE

Techoundsllc

Corona, CA • Remote

$118K - $141K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Must reside in PST time zone!

Job Overview
We are seeking a skilled Data Engineer with 3–5 years of experience specializing in data analysis, writing queries, query optimization, reporting, and data solutions. The ideal candidate will have a strong background in MongoDB, MySQL, and SQL, coupled with experience in AWS RDS and tools like Jira, along with strong analytical and problem-solving skills. This role involves designing, building, and maintaining optimized, highly available data pipelines that facilitate deeper analysis and reporting by the Data and Analytics team and support business initiatives.

Key Responsibilities

· Develop and execute complex queries in MongoDB, MySQL, and SQL to analyze and extract meaningful insights from datasets.

· Create and maintain reporting solutions that support business needs, ensuring clarity and accuracy.

· Collaborate with stakeholders to understand reporting requirements and deliver actionable insights through dashboards or reports.

· Support ad-hoc analysis by providing timely and efficient query solutions to business teams.

· Leverage AWS services, such as RDS and S3, to support data integration and reporting workflows.

· Troubleshoot and resolve data-related issues to ensure smooth operations.

· Create and maintain documentation for data processes, queries, and reporting workflows.

Qualifications

· Experience: 3–5 years of experience as a Data Engineer or similar role with a focus on data analysis and reporting.

· Strong proficiency in MongoDB, MySQL, and SQL for query design and optimization.

· Hands-on experience with AWS RDS and related AWS services.

· Ability to analyze and interpret data to provide actionable insights.

· Experience creating and maintaining reports, dashboards, and visualization tools.

Tools

· Proficiency with Jira for task and workflow management.

Preferred Qualifications

· Experience with Python or similar programming languages for advanced data manipulation.

· Knowledge of Agile methodologies and task tracking tools.

· Familiarity with reporting tools.

· Nice to have: Experience leveraging AI/ML technologies to enhance data analysis, automate workflows, or optimize reporting processes.